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An Artificial Intelligence-Based Non-Invasive Approach for Cardiovascular Disease Risk Stratification in Obstructive Sleep Apnea Patients: A Narrative Review.

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Title: An Artificial Intelligence-Based Non-Invasive Approach for Cardiovascular Disease Risk Stratification in Obstructive Sleep Apnea Patients: A Narrative Review.
Authors: Saba L; Department of Radiology, Azienda Ospedaliero Universitaria, 40138 Cagliari, Italy., Maindarkar M; School of Bioengineering Sciences and Research, MIT Art, Design and Technology University, 412021 Pune, India., Khanna NN; Department of Cardiology, Indraprastha APOLLO Hospitals, 110001 New Delhi, India., Puvvula A; Department of Radiology, and Pathology, Annu's Hospitals for Skin and Diabetes, 524101 Nellore, India., Faa G; Department of Radiology, and Pathology, Azienda Ospedaliero Universitaria, 09123 Cagliari, Italy.; Now with Department of Medical Sciences and Public Health, University of Cagliari, 09124 Cagliari, Italy., Isenovic E; Department of Radiobiology and Molecular Genetics, National Institute of the Republic of Serbia, University of Belgrade, 192204 Belgrade, Serbia., Johri A; Department of Medicine, Division of Cardiology, Queen's University, Kingston, ON K7L 3N6, Canada., Fouda MM; Department of Electrical and Computer Engineering, Idaho State University, Pocatello, ID 83209, USA., Tiwari E; Cardiology Imaging, Visvesvaraya National Institute of Technology Nagpur, 440010 Nagpur, India., Kalra MK; Department of Radiology, Harvard Medical School, Boston, MA 02115, USA., Suri JS; University Center for Research & Development, Chandigarh University, 140413 Mohali, India.; Department of CE, Graphics Era Deemed to be University, 248002 Dehradun, India.; Symbiosis Institute of Technology, Nagpur Campus, Symbiosis International (Deemed University), 440008 Pune, India.; Stroke Diagnostic and Monitoring Division, AtheroPoint™️, Roseville, CA 95661, USA.
Source: Reviews in cardiovascular medicine [Rev Cardiovasc Med] 2024 Dec 28; Vol. 25 (12), pp. 463. Date of Electronic Publication: 2024 Dec 28 (Print Publication: 2024).
Publication Type: Journal Article; Review
Journal Info: Publisher: IMR Press Country of Publication: Singapore NLM ID: 100960007 Publication Model: eCollection Cited Medium: Internet ISSN: 2153-8174 (Electronic) Linking ISSN: 15306550 NLM ISO Abbreviation: Rev Cardiovasc Med Subsets: PubMed not MEDLINE
Database: MEDLINE Ultimate
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  Data: An Artificial Intelligence-Based Non-Invasive Approach for Cardiovascular Disease Risk Stratification in Obstructive Sleep Apnea Patients: A Narrative Review.
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  Data: <searchLink fieldCode="AU" term="%22Saba+L%22">Saba L</searchLink>; Department of Radiology, Azienda Ospedaliero Universitaria, 40138 Cagliari, Italy.<br /><searchLink fieldCode="AU" term="%22Maindarkar+M%22">Maindarkar M</searchLink>; School of Bioengineering Sciences and Research, MIT Art, Design and Technology University, 412021 Pune, India.<br /><searchLink fieldCode="AU" term="%22Khanna+NN%22">Khanna NN</searchLink>; Department of Cardiology, Indraprastha APOLLO Hospitals, 110001 New Delhi, India.<br /><searchLink fieldCode="AU" term="%22Puvvula+A%22">Puvvula A</searchLink>; Department of Radiology, and Pathology, Annu's Hospitals for Skin and Diabetes, 524101 Nellore, India.<br /><searchLink fieldCode="AU" term="%22Faa+G%22">Faa G</searchLink>; Department of Radiology, and Pathology, Azienda Ospedaliero Universitaria, 09123 Cagliari, Italy.; Now with Department of Medical Sciences and Public Health, University of Cagliari, 09124 Cagliari, Italy.<br /><searchLink fieldCode="AU" term="%22Isenovic+E%22">Isenovic E</searchLink>; Department of Radiobiology and Molecular Genetics, National Institute of the Republic of Serbia, University of Belgrade, 192204 Belgrade, Serbia.<br /><searchLink fieldCode="AU" term="%22Johri+A%22">Johri A</searchLink>; Department of Medicine, Division of Cardiology, Queen's University, Kingston, ON K7L 3N6, Canada.<br /><searchLink fieldCode="AU" term="%22Fouda+MM%22">Fouda MM</searchLink>; Department of Electrical and Computer Engineering, Idaho State University, Pocatello, ID 83209, USA.<br /><searchLink fieldCode="AU" term="%22Tiwari+E%22">Tiwari E</searchLink>; Cardiology Imaging, Visvesvaraya National Institute of Technology Nagpur, 440010 Nagpur, India.<br /><searchLink fieldCode="AU" term="%22Kalra+MK%22">Kalra MK</searchLink>; Department of Radiology, Harvard Medical School, Boston, MA 02115, USA.<br /><searchLink fieldCode="AU" term="%22Suri+JS%22">Suri JS</searchLink>; University Center for Research & Development, Chandigarh University, 140413 Mohali, India.; Department of CE, Graphics Era Deemed to be University, 248002 Dehradun, India.; Symbiosis Institute of Technology, Nagpur Campus, Symbiosis International (Deemed University), 440008 Pune, India.; Stroke Diagnostic and Monitoring Division, AtheroPoint™️, Roseville, CA 95661, USA.
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  Data: <searchLink fieldCode="JN" term="%22100960007%22">Reviews in cardiovascular medicine</searchLink> [Rev Cardiovasc Med] 2024 Dec 28; Vol. 25 (12), pp. 463. <i>Date of Electronic Publication: </i>2024 Dec 28 (<i>Print Publication: </i>2024).
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  Data: <i>Publisher: </i><searchLink fieldCode="PB" term="%22IMR+Press%22">IMR Press </searchLink><i>Country of Publication: </i>Singapore <i>NLM ID: </i>100960007 <i>Publication Model: </i>eCollection <i>Cited Medium: </i>Internet <i>ISSN: </i>2153-8174 (Electronic) <i>Linking ISSN: </i><searchLink fieldCode="IS" term="%2215306550%22">15306550 </searchLink><i>NLM ISO Abbreviation: </i>Rev Cardiovasc Med <i>Subsets: </i>PubMed not MEDLINE
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